Evidence map›Paper›PMID 30693376›Full record

ArticleEnvironmental monitoring and assessment2019

Towards a multi-bioassay-based index for toxicity assessment of fluvial waters.

Lalit K Pandey, Isabelle Lavoie, Soizic Morin, Stephen Depuydt, Jie Lyu, Hojun Lee, Jinho Jung, Dong-Hyuk Yeom, Taejun Han, Jihae Park

Abstract read
PubMed Publisher
In one paragraph

Article in Environmental monitoring and assessment, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Lalit K PandeyInstitute of Green Environmental Research Center, 169, Gaetbeol-ro, Yeonsu-gu, Incheon, 21999, South Korea.
Isabelle LavoieInstitut national de la recherche scientifique, centre Eau Terre Environnement, 490 rue de la Couronne, Québec City, Québec, G1K 9A9, Canada.
Soizic MorinIrstea, UR EABX, 50 avenue de Verdun, 33612, Cestas Cedex, France.
Stephen DepuydtLab of Plant Growth Analysis, Ghent University Global Campus, 119, Songdomunwha-ro, Yeonsu-gu, Incheon, 21985, Republic of Korea.
Jie LyuDepartment of Life Sciences, Jilin Normal University, Siping City, Jilin Province, China.
Hojun LeeDepartment of Marine Sciences, Incheon National University, 119, Academy-ro, Yeonsu-gu, Incheon, 22012, South Korea.
Jinho JungDivision of Environmental Science & Ecological Engineering, Korea University, Seoul, 02841, South Korea.
Dong-Hyuk YeomEcotoxicology Team, Korea Institute of Toxicology, Daejeon, 34114, South Korea.
Taejun HanDepartment of Marine Sciences, Incheon National University, 119, Academy-ro, Yeonsu-gu, Incheon, 22012, South Korea.
Jihae ParkLab of Plant Growth Analysis, Ghent University Global Campus, 119, Songdomunwha-ro, Yeonsu-gu, Incheon, 21985, Republic of Korea. jihae.park@ghent.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite their proven reliability for revealing 'acceptable' degrees of toxicity in waste- and reclaimed waters, bioassays are rarely used to assess the toxicity of hazardous contaminants present in natural waters. In this study, we used organisms from different trophic levels to assess the toxicity of water samples collected from four different South Korean rivers. The main objective was to develop a multi-descriptor index of toxicity for undiluted river water. The responses of six test organisms (Aliivibrio fischeri, Pseudokirchneriella subcapitata, Heterocypris incongruens, Moina macrocopa, Danio rerio and Lemna minor) after laboratory exposure to water samples were considered for this index, as well as the frequency of teratologies in diatom assemblages. Each individual test was attributed a toxicity class and score (three levels; no toxicity = 0, low toxicity = 1, confirmed toxicity = 2) based on the organism's response after exposure and a total score was calculated. The proposed index also considers the number of test organisms that received the highest toxicity score (value = 2). An overall toxicity category was then attributed to the water sample based on those two metrics: A = no toxicity, B = slight toxicity, C = moderate toxicity; D = toxicity and E = high toxicity. The susceptibility of the test organisms varied greatly and the sensitivity of their response also differed among bioassays. The combined responses of organisms from different trophic levels and with different life strategies provided multi-level diagnostic information about the intensity and the nature of contamination.

Indexed as

Environmental MonitoringAliivibrio fischeriAnimalsAraceaeBiological AssayFresh WaterReproducibility of ResultsRiversToxicity TestsWater Pollutants, ChemicalWater Pollutants, ChemicalAquatic plantsBioassayBiological indicatorsMicroorganismsMulti-descriptor indexMultiple endpointsReceiving water

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.